{"id":"W2338193250","doi":"10.2139/ssrn.2318157","title":"Optimal Price-Lead Time Menus for Queues with Customer Choice: Priorities, Pooling &amp; Strategic Delay","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Pooling; Lead (geology); Queue; Lead time; Business; Microeconomics; Computer science; Operations research; Marketing; Industrial organization; Operations management; Economics; Engineering; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001341799,0.0003371872,0.0003713614,0.0003442578,0.0005689539,0.0005806375,0.000442247,0.00009813259,0.0003128418],"category_scores_gemma":[0.0001002881,0.0002716664,0.0001766171,0.0004866154,0.00008046266,0.00212448,0.00006326787,0.001101818,0.0007277692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119579,"about_ca_system_score_gemma":0.0005142638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002536903,"about_ca_topic_score_gemma":0.000515044,"domain_scores_codex":[0.9965258,0.00003115761,0.0004093071,0.0003516276,0.0003434286,0.00233868],"domain_scores_gemma":[0.9986575,0.0001149314,0.000495384,0.0002543493,0.00044247,0.00003533694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001171477,0.0004992141,0.002545581,0.0003593618,0.003412439,0.00002652375,0.0002976964,0.09753537,0.00790488,0.8681911,0.002551862,0.01550446],"study_design_scores_gemma":[0.005411154,0.0004177293,0.0001759609,0.0003200058,0.001693172,0.0005769536,0.00448871,0.05547074,0.0001737667,0.845473,0.08318455,0.002614278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670243,0.001346659,0.02360029,0.0008011666,0.0001417701,0.0006024508,0.000002185501,0.0002238547,0.006257304],"genre_scores_gemma":[0.9851242,0.0001612598,0.00203568,0.0003794685,0.002341507,0.00006312296,0.00003047678,0.0001088777,0.009755418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08063269,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105106937829519,"score_gpt":0.2351199781675051,"score_spread":0.2240689087892099,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}